kuni0lover — CS2 Stats

76561199094783866[U:1:1134518138]✓ No bans

313Tracked matches43%Win rate2020Tracked since
2,137Hours in CS6Hrs last 2 wks
CSDB Rating6.3 SolidAggressive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGkuni0loverFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

COLD32635Last 10032%Win rateWTWLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression9.4
Utility6.4
Positioning6.1
Opening Duels3.6
Clutch1.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

jL

Plays most like jL 96% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.6
Positioning6.1
Utility6.4
Mechanics6.2
Opening Duels3.6
Win Impact2.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time597ms+37ms
first ⅓ avg 560ms → last ⅓ avg 597ms
Headshot accuracy27.9%−1.0%
first ⅓ avg 28.9% → last ⅓ avg 27.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating — vertigo 13–4
131Biggest win — anubis
3Longest win streak
36In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 50% over 10ancientWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
mirageD1651131%0.02
anubisC145936%0.06
ancientD1421214%0.03
cacheC104640%0.05
infernoB105550%0.02
vertigoB105550%0.04
dust2D103730%0.03
trainD61517%0.07
nuke4040%-0.01
office21150%0.03
shelter1010%0.07
boulder1010%0.01
fachwerk1010%0.03
overpass110100%0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,864Lifetime kills
1.62K/D · Top 5% of tracked players
3,644Matches
40.6%Match win rate
50.3%Headshot % · Top 50% of tracked players
12.9%Shot accuracy · Top 50% of tracked players
9,459MVPs
1,275Hours (in match)
3,139Bombs planted
1,074Bombs defused

Most-used weapons

AK-4726,599
AWP19,914
SSG 084,775
FAMAS1,870
P2501,806

Lifetime map wins

9,371dust2
2,635inferno
776vertigo
602train
553nuke
203cbble
184office
13italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

73Matches
63%Win rate
1.95Avg K/D
99.1ADR
43%Headshot %

Clutches & streaks

25%1v1 clutch win
42%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%1.5020.2
Dust2667%1.8221.0
Inferno367%1.7620.3
Anubis250%2.0826.5
Ancient1100%2.1824.0
Nuke1100%1.8641.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
42.9%Spray accuracy
78.1%Counter-strafing
8.0°Preaim
591msReaction time
44.0%T opening success
45.1%CT opening success
0.55Enemies flashed / flash
14.0%Flash assists
9.92HE damage / grenade
5.21Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–110.1416%26 Aug
cache12–12-0.0315%26 Aug
train13–110.1127%23 Aug
anubis1–130.0133%23 Aug
inferno8–130.0026%23 Aug
mirage6–13-0.0322%23 Aug
anubis14–160.0827%12 Aug
inferno13–50.0742%12 Aug
train5–130.0120%5 Aug
vertigo4–13-0.0617%29 Jul
vertigo13–40.1837%29 Jul
vertigo1–13-0.0118%29 Jul
anubis1–13-0.0526%26 Jul
mirage13–70.0133%24 Jul
dust213–100.1133%23 Jul
anubis13–40.0250%18 Jul
mirage4–130.0014%18 Jul
inferno13–60.0921%18 Jul
dust213–30.0317%18 Jul
vertigo13–60.0132%18 Jul
inferno4–130.0330%15 Jul
anubis2–130.0221%10 Jul
ancient2–13-0.0726%10 Jul
shelter8–130.0725%10 Jul
boulder4–130.0131%10 Jul
fachwerk3–130.0362%10 Jul
ancient7–13-0.0327%8 Jul
vertigo12–120.1142%8 Jul
mirage13–90.0236%7 Jul
cache13–50.1736%6 Jul
inferno13–10-0.0617%6 Jul
ancient7–130.0624%2 Jul
ancient13–90.0420%24 Jun
nuke5–13-0.0224%24 Jun
train5–130.0929%17 Jun
dust27–13-0.0138%16 Jun
mirage6–40.0133%16 Jun
ancient2–130.0427%16 Jun
mirage8–13-0.0315%12 Jun
vertigo5–13-0.0428%12 Jun
mirage9–130.0025%3 Jun
anubis2–13-0.0011%3 Jun
anubis13–40.1018%28 May
anubis13–10.1640%28 May
mirage8–130.0131%25 May
cache10–130.0232%25 May
nuke1–7-0.0525%25 May
anubis13–70.1420%21 May
mirage8–13-0.0512%21 May
cache11–130.0020%18 May
mirage7–130.0514%18 May
office8–130.0534%17 May
office13–9-0.0040%17 May
vertigo6–130.0138%13 May
anubis9–130.0019%10 May
mirage8–130.0529%10 May
ancient4–130.0636%10 May
cache13–70.0523%10 May
inferno13–100.0819%9 May
ancient5–130.0525%9 May
dust23–130.0219%7 May
inferno13–70.0011%6 May
anubis5–130.0618%6 May
ancient13–8-0.0126%4 May
cache12–120.0524%4 May
anubis11–130.0917%3 May
mirage5–130.0441%3 May
inferno6–130.0120%3 May
dust213–100.0824%3 May
cache11–13-0.0024%3 May
anubis4–130.1523%2 May
cache12–120.0422%2 May
ancient6–13-0.0214%2 May
nuke11–130.0135%2 May
dust211–130.0921%2 May
nuke3–130.0239%30 Apr
cache13–20.0231%29 Apr
ancient0–13-0.0426%28 Apr
train9–130.0330%22 Apr
train4–130.0621%22 Apr
train12–120.1330%18 Apr
vertigo13–30.0419%15 Apr
ancient9–130.0424%15 Apr
mirage3–13-0.0321%11 Apr
ancient9–130.1725%11 Apr
ancient10–130.0425%9 Apr
dust28–130.0529%9 Apr
dust27–13-0.0131%8 Apr
vertigo13–80.0529%8 Apr
anubis13–30.0527%2 Apr
mirage13–60.1036%28 Mar
ancient9–130.0628%26 Mar
mirage13–70.1026%20 Mar
vertigo13–100.0841%18 Mar
inferno5–130.0542%12 Mar
dust29–130.0243%12 Mar
dust21–13-0.0642%12 Mar
inferno3–13-0.0537%7 Mar
mirage8–130.0743%7 Mar
overpass13–90.1226%4 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →